Machine learning tutorialsCode, exercises and tutorials of my personal blog ! 📝
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NotesNotes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
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Cracking The Data Science InterviewA Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
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Interpretable machine learning with pythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
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Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
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Fecon235Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
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GeomstatsComputations and statistics on manifolds with geometric structures.
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Causal Inference For Data ScientistsNotebooks of Python and R code which illustrates basic causal inference using simulated data
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Cvpr 2019 Paper StatisticsStatistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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Feature Engineering And Feature SelectionA Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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Probabilistic Programming And Bayesian Methods For Hackersaka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
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Rong360用户贷款风险预测
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Statistical Rethinking With Python And Pymc3Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
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Awesome Ai BooksSome awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
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